Key questions asked during the GenAI roundtables included: How are you ensuring that you can protect your organization against hallucinations in LLMs? How are you focusing on how you use LLMs in your world? What failures have you already experienced? What lessons have you already learned? How do we train new/entry-level people to have the perspective necessary to write prompts and ask questions without having the lived experience of having learned through practice? What are the challenges of using AI?
Key AI Themes
After analyzing hundreds of takeaways from the roundtable, we asked Gemini to identify some of the core themes that can strengthen the Generative AI movement in a corporate innovation organization.
- Mitigating Hallucinations: Participants discussed strategies for addressing hallucinations in LLMs, including fact-checking, human verification, and optimizing training data.
- Responsible AI Use: The importance of using LLMs responsibly, considering ethical implications and avoiding potential biases.
- Practical Applications of LLMs: Participants shared various use cases for LLMs, including content generation, data analysis, customer support, and code generation.
- Challenges and Limitations: Participants acknowledged the limitations of current LLM technology, such as the need for human oversight and the potential for inaccuracies.
- Future of AI: The discussion touched on the future of AI, including the development of more advanced models and the integration of AI into various aspects of business and society.
More Resources from All Things Innovation
All Things Innovation recently released an FEI 2024 Post-Show Report. Showgoers participated in two robust innovation roundtables, a variety of general keynote sessions, panels on Gen Z, brunch with several bots from Mass Robotics, and more. A broad range of educational sessions were grouped by the days’ themes, which examined the role of human interactivity in innovation, the growth of artificial intelligence—and the balance of both human-centric and AI-enabled innovation. Day three also looked at the future of innovation with several key trends such as the rise of the Gen Z innovator. For the purposes of this post-show report, we selected some of the top key takeaways from FEI 2024, from almost every session.
We also looked deeper into this topic with “Powering AI-Driven Innovation.” The advancements in artificial intelligence have rapidly impacted and transformed the business world around us. For insights and innovation, it has increased the reliability and accessibility of data-driven functions, as well as augmented the automation of some tasks. Automating processes, developing new products and services, increasing business and competitive intelligence are all benefits of AI. But let’s take a closer look at implementing an AI-driven innovation discovery process and the advantages of adopting that approach.
Harnessing the Power of AI
The roundtable discussions highlighted the growing importance of generative AI and the need for organizations to develop strategies for effectively using this technology. While LLMs offer significant potential benefits, participants emphasized the importance of responsible use, human oversight, and addressing the limitations of current models.
As AI technology continues to evolve, it is essential for organizations to stay informed about the latest developments and explore new use cases. By understanding the capabilities and limitations of LLMs, organizations can harness the power of AI to drive innovation and achieve their goals.
